Huawei Technologies Co., Limited

Jianpeng Xu

Wei Li

Juwei Lu

Peng Dai

Szu Wen Fan

Changqing Zou

Varshanth Ravindra Rao

Bharath Sekar

Ruiwen Li

Wei Zhou

Qingchun Lin

Sachi Mizobuchi

Taslim Arefin Khan

Qiang Xu

Guojun Ma

Jinxing Zhang

Uzair Ahmad

Yumna Wassaf Akhtar

Generating a user timeline for an electronic device (ED) userData is collected that includes: location data; application data; and activity data. Occurrences of predetermined types of observed events are detected based on the collected data. For each detected occurrence a respective observed event record is stored that includes information about a time and type of the observed event. Planned event records, each including information about a time and type of a respective planned event, are stored for planned events that the user is scheduled to participate in, the planned event records. Events are predicted based on the observed event records and the planned event records. Information about observed, planned and predicted events are output on a timeline user interface based on observed event records, planned event records and predicted event records stored for the predicted events, respectively.

Timeline user interface

Devices, methods, systems, and media are described for providing an extended screen distributed user interface in an augmented reality environment. GUI layout information for laying out a conventional 2D GUI is processed in order to generate an extended screen DUI for display partially on a 2D display device and partially on one or more virtual screens of an AR environment viewed using an AR display device, such as a head mounted display. GUI elements are laid out in the DUI based on a primary modality of the GUI element (input or output), and/or based on spatial dependencies between GUI elements encoded in the GUI layout information. Methods for switching focus between two software application instances displayed in the DUI are also disclosed.

Devices, methods, systems, and media for an extended screen distributed user interface in augmented reality

Methods and systems for rendering a virtual overlay in an extended reality (XR) environment are described. Image data is received, representing a current field of view (FOV) in the XR environment. A spatial boundary is defined in the current FOV, based on user input. An image label representing a region of interest (ROI) within the defined spatial boundary, and one or more object labels representing one or more objects within the defined spatial boundary are generated. At least one relevant virtual object is identified. The virtual object is relevant to a semantic meaning of the ROI based on the image label and/or the one or more object labels. Identification of the at least one relevant virtual object is outputted, to be renderable in the XR environment.

Methods and systems for rendering virtual objects in user-defined spatial boundary in extended reality environment

Methods and systems for processing an image are described. A saliency map is generated from the image. The saliency map indicates one or more salient portions of the image that have saliency values satisfying a saliency criterion. A scene graph is generated for at least the one or more salient portions. The scene graph represents a plurality of objects detected in the image. The scene graph further represents one or more relationships between each respective object pairs. One or more dataset entries associated with the image are generated. Each of the one or more relationships for each of the one or more object pairs is indicated by a respective dataset entry. The one or more dataset entries are stored in a first dataset.

Method and system for image search and cropping

System and method for classifying data objects occurring in an unstructured dataset, comprising: extracting feature vectors from the unstructured dataset, each feature vector representing an occurrence of a data object in the unstructured dataset; classifying the feature vectors into feature vector sets that each correspond to a respective object class from a plurality of object classes; for each feature vector set: performing multiple iterations of a clustering operation, each iteration including clustering feature vectors from the feature vector set into clusters of similar feature vectors and identifying outlier feature vectors, wherein for at least one iteration after a first iteration of the clustering operation, outlier feature vectors identified in a previous iteration are excluded from the clustering operation; and outputting a key cluster for the feature vector set from a final iteration of the multiple iterations, the key cluster including a greater number of similar feature vectors than any of the other clusters of the final iteration; and assembling a dataset that includes at least the feature vectors from the key clusters of the feature vector sets.

Semi-supervised hybrid clustering/classification system

A method and system for displaying data content associated with a video, comprising: receiving video data for a video at the user equipment; playing the video in a user interface rendered on a display device of the user equipment; pausing the video at a selected frame; accessing, based on the selected frame, content data associated with the selected frame; and displaying information about the content data associated with the selected frame in the user interface.

Intelligent video interaction method

Methods and systems for video segmentation and scene recognition are described. A video having a plurality of frames and a subtitle file associated with the video are received. Segmentation is performed on the video to generate a first set video frames comprising one or more video frames based on a frame-by-frame comparison of features in the frames of the video. Each video frame in the first includes a frame indicator which indicates at least a first start frame of the video frame. The subtitle file associated with the video is parsed to generate one or more subtitle segments based on a start and an end time of each dialogue in the subtitle file. A second set of video frames comprising one or more second video frames are generated based on the video frames of the first set of video frames and the e or more subtitle segments.

Method and system for video segmentation

Embodiments of the present invention provide a related entity, and a method for determining air interface resources consumed by a service. The related entity includes: a receiver, configured to receive, from a control plane entity, air interface connection information of a UE, and receive, from a data plane entity, service information of the UE, where the air interface connection information includes time points at which the UE establishes and releases an air interface connection, the service information includes time points at which the UE starts and stops transmitting data of a service, and the service includes a to-be-detected service; and a processor, configured to determine a target air interface connection set according to the air interface connection information and the service information, and determine air interface resource consumption information of the to-be-detected service according to the target air interface connection set.

Growing community of inventors

Markham, Canada

Jianpeng Xu